Agent Engineer (Builder)

Role Summary

We're looking for a builder, not just a coder — someone who understands agentic AI well and is excited to apply it to real operational problems in a real estate investment and property management platform. You'll partner directly with department heads and property teams to understand repetitive, manual, or error-prone workflows, take the business rules and parameters from them, then design and ship AI agents and automations that eliminate them. You don't need to be an expert in leasing or accounting, and you don't need to build full code backends: most of the work is prompts, skills, and low-code automation. This is a highly cross-functional, high-visibility role reporting into IT, with exposure to Acquisitions, Accounting, Property Management, HR, and Leasing.

Key Responsibilities

At HQ (Beverly Hills):

• Interview stakeholders across Acquisitions, Accounting, Operations, HR, and Leasing to map current manual workflows

• Design, build, and deploy AI agents (skills, plugins, and connectors on our AI platforms, plus rules-based automations) that automate document review, data entry, reporting, underwriting support, and internal Q&A

• Integrate agents with existing systems (Microsoft 365, SharePoint, Outlook, Yardi, Rippling) using available connectors and low-code/no-code tools

• Package finished tools so non-technical users can run them easily, with short how-to guides

At the Property Level:

• Work with regional and on-site property management teams to identify high-friction tasks (maintenance ticketing, resident communications, lease abstraction, vendor invoicing, compliance tracking)

• Deploy automation and AI agents that reduce manual data entry and turnaround time across the ~8,500-unit multifamily portfolio and commercial assets

• Travel occasionally to properties when on-site requirements gathering or rollout support is needed; most discovery happens remotely over Teams

Ongoing:

• Monitor, maintain, and iterate on deployed agents; track efficiency gains (hours saved, error reduction, cost avoidance)

• Document workflows and maintain a library of reusable automation components

• Test each automation with its business owner before release, and keep a person in the loop for anything sent outside the company

• Work within IT's security model: least-privilege access, approved connectors, and service accounts

• Stay current on AI/agent tooling and recommend new use cases, including when a workflow is ready for more advanced, API-based agents

First Six Months

This is a new program for Omninet, and both you and the company will build experience as it grows. In the first six months, you will:

• Deliver several working automations for real teams, such as lease renewal letter drafting and broker deal intake

• Measure results (hours saved, turnaround time, error rates) and share what worked and what didn't

• Build a reusable library of skills, templates, and connectors that makes each new automation faster

• Use what we learn together to shape the program's next stage

Required Qualifications:

• 2+ years of experience in automation, business systems, solutions engineering, or a similar technical role; a degree in Computer Science or a related field is a plus but not required

• Strong hands-on experience with LLMs and agentic tools, including writing prompts, skills, or instructions that produce consistent, reliable results

• Experience building skills, custom assistants, plugins, or connectors on AI platforms such as Claude, ChatGPT, Microsoft Copilot, or Grok

• Familiarity with APIs and basic automation concepts

• Strong written and verbal communication skills — able to translate business problems into technical solutions and explain technical solutions to non-technical stakeholders

• Self-directed, comfortable with ambiguity, and eager to work directly with business teams (not just other engineers)

• Good judgment about data sensitivity and when a person must review AI output

• Willingness to travel occasionally

Preferred Qualifications (not required):

• Experience with low-code/no-code workflow tools and the Microsoft 365 ecosystem

• Comfortable reading and adjusting code (Python, PowerShell, JSON) when needed, including code written with AI assistance

• Familiarity with Model Context Protocol (MCP) or API-based agent development

• Exposure to real estate, property management, or financial services

• Familiarity with Yardi or similar property management systems

Tools & Technologies

• Languages: Python, PowerShell, JSON (code is often AI-assisted)

• AI/Agents: AI assistant platforms (currently Claude; others such as OpenAI as approved): skills, plugins, connectors, agentic coding tools, prompt engineering

• Automation/Integration: Low-code/no-code workflow tools, Microsoft Graph, MCP connectors

• Business Systems: Yardi, Microsoft 365 / SharePoint, Rippling

• Data: Excel, SharePoint lists, basic data pipelines

• Version Control: Git / GitHub

Reporting & Location

• Reports to: Director of Information Technology

• Based at Omninet Capital HQ, 9420 Wilshire Blvd, Suite 400, Beverly Hills, CA 90212

• Occasional travel to portfolio properties as needed

• Full-time, in-office role

Compensation & Benefits

• Base salary: $100,000–$145,000, based on experience and market benchmarking

• Standard Omninet employee benefits (health/dental/vision, 401(k), PTO)

Omninet Capital, LLC is an Equal Opportunity Employer and is committed to maintaining a workplace free from discrimination and harassment. We recruit, employ, train, compensate, and promote without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, veteran or military status, or any other status protected by applicable federal, state, or local laws.